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外国移民增长率的数值形式与公众认知。

Numerical format and public perception of foreign immigration growth rates.

作者信息

Dickson Maria Michela, Espa Giuseppe, Micciolo Rocco, Savadori Lucia

机构信息

University of Padova, Padova, Italy.

University of Trento, Trento and Centre of Security and Crime Sciences, University of Trento and the University of Verona, Trento, Italy.

出版信息

PLoS One. 2024 Oct 2;19(10):e0310382. doi: 10.1371/journal.pone.0310382. eCollection 2024.

Abstract

The study aimed to explore whether the 1-in-X bias is also present in relation to immigration growth rates. We tested this research question on a representative sample of adult residents in Trento, Italy, between March and April 2019. Participants were presented with data comparing the foreign immigrant-to-resident population ratio in Italy for 2001 (1 in 40) and 2011 (1 in 15), using two distinct formats-1-in-X and percentages. They were then asked to express the perceived increase. Baseline measures of several individual-level factors, including cultural worldviews, perceptions of immigration, numeracy, science literacy, and economic literacy, were also collected to explore the potential role of individual differences in influencing the effect of the 1-in-X format on the perceived increase in immigrants. The results confirmed the existence of the 1-in-X bias, demonstrating that the immigration growth rate in the 1-in-X format was perceived as higher than in the percentage format, even after controlling for the effects of the idiosyncratic variables. The results of this study provide insight into how different numerical formats can influence public perceptions of immigration growth rates, offering suggestions to policymakers, communicators, and stakeholders about how the presentation of information can shape public opinion.

摘要

该研究旨在探讨X分之一偏差在移民增长率方面是否也存在。我们于2019年3月至4月期间,在意大利特伦托的成年居民代表性样本上测试了这个研究问题。参与者被展示了以两种不同形式(X分之一和百分比)呈现的、比较意大利2001年(40分之一)和2011年(15分之一)外国移民与居民人口比例的数据。然后要求他们表达所感知到的增长情况。还收集了几个个体层面因素的基线测量数据,包括文化世界观、对移民的看法、算术能力、科学素养和经济素养,以探讨个体差异在影响X分之一形式对移民感知增长影响方面的潜在作用。结果证实了X分之一偏差的存在,表明即使在控制了特质变量的影响后,X分之一形式下的移民增长率仍被认为高于百分比形式。这项研究的结果为不同数字形式如何影响公众对移民增长率的看法提供了见解,为政策制定者、传播者和利益相关者就信息呈现如何塑造公众舆论提供了建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92dc/11446429/384c3f30ce3d/pone.0310382.g001.jpg

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